{"id":"W1868703955","doi":"10.1109/mnano.2015.2409412","title":"Piezoresistive Strain Sensors Based on Carbon Nanotube Networks: Contemporary approaches related to electrical conductivity","year":2015,"lang":"en","type":"article","venue":"IEEE Nanotechnology Magazine","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Piezoresistive effect; Carbon nanotube; Materials science; Microelectronics; Nanotechnology; Nanoelectromechanical systems; Conductivity; Electrical resistivity and conductivity; Gauge factor; Strain (injury); Pressure sensor; Optoelectronics; Fabrication; Nanoparticle; Electrical engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001409138,0.000596153,0.0008753432,0.000706407,0.0001336039,0.00006901669,0.0008442613,0.0009865212,0.00004112993],"category_scores_gemma":[0.001143365,0.00056513,0.0001411029,0.001609247,0.0006998309,0.0001374903,0.0001948343,0.000887815,0.000309092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676176,"about_ca_system_score_gemma":0.0003872123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004899244,"about_ca_topic_score_gemma":0.00002246973,"domain_scores_codex":[0.9957942,0.000516276,0.0007379187,0.001309835,0.0006823557,0.0009594113],"domain_scores_gemma":[0.9972581,0.0006357782,0.0002720046,0.00124347,0.0002278691,0.0003628097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001385244,0.0005563606,0.0007165921,0.00001646675,0.00004935454,0.000339445,0.00013593,0.04966726,0.9368232,0.002091003,0.005668297,0.002550776],"study_design_scores_gemma":[0.003414517,0.002697884,0.0003618539,0.00009934718,0.00006936584,0.000118734,0.00006228493,0.1757623,0.8111205,0.001883733,0.003204792,0.001204755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841744,0.0003748614,0.002319816,0.003401245,0.001790006,0.001100822,0.00008148418,0.00139468,0.00536271],"genre_scores_gemma":[0.9959771,0.00000326023,0.002670781,0.0005267908,0.0001364929,0.0002004866,0.00002676249,0.00008874637,0.0003695465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.126095,"threshold_uncertainty_score":0.99968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550054341275638,"score_gpt":0.2583375762236033,"score_spread":0.2128370328108469,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}